Course replacedThis course has been replaced by FMSN20/MASM25: Spatial statistics with image analysis
The course is held each year during the autumn semester (In 2010, study period HT1) and is worth 7.5 ECTS credits.
- Markov processes
- Stationary Stochastic Processes
- Image analysis
- 4 hours lectures each week (total 28 h)
- 3 hours computer assignments each week (total 21 h)
The course deals with Bayesian methods for modelling, classification
and reconstruction. Markov random fields.
Gibbs distributions, deformable templates such as snakes.
Correlation structures, multivariate
techniques, discriminant analysis. Simualtion methods for inference (MCMC).
Remote sensing and spatial statistics
Examination consists of home assignments which will be handed out during the course. Possible assignments include:
- Geotechnology and mineralogy
- Remote sensing
- Environmental statistics
- Shape analysis in e.g. computer vision, medical image analysis.
F. Lindgren, Image Modelling and Estimation - A statistical approach. The Compendium is available from the department or from the literature homepage.
Course administration and lecturers (HT10)
Monte-Carlo-based methods for statistical inference 7.5hp, HT, LP1
Computer vision 6hp, VT, LP1